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arXiv:1009.3406 [math.PR]AbstractReferencesReviewsResources

The role of the central limit theorem in discovering sharp rates of convergence to equilibrium for the solution of the Kac equation

Emanuele Dolera, Eugenio Regazzini

Published 2010-09-17Version 1

In Dolera, Gabetta and Regazzini [Ann. Appl. Probab. 19 (2009) 186-201] it is proved that the total variation distance between the solution $f(\cdot,t)$ of Kac's equation and the Gaussian density $(0,\sigma^2)$ has an upper bound which goes to zero with an exponential rate equal to -1/4 as $t\to+\infty$. In the present paper, we determine a lower bound which decreases exponentially to zero with this same rate, provided that a suitable symmetrized form of $f_0$ has nonzero fourth cumulant $\kappa_4$. Moreover, we show that upper bounds like $\bar{C}_{\delta}e^{-({1/4})t}\rho_{\delta}(t)$ are valid for some $\rho_{\delta}$ vanishing at infinity when $\int_{\mathbb{R}}|v|^{4+\delta}f_0(v)\,dv<+\infty$ for some $\delta$ in $[0,2[$ and $\kappa_4=0$. Generalizations of this statement are presented, together with some remarks about non-Gaussian initial conditions which yield the insuperable barrier of -1 for the rate of convergence.

Comments: Published in at http://dx.doi.org/10.1214/09-AAP623 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Journal: Annals of Applied Probability 2010, Vol. 20, No. 2, 430-461
Categories: math.PR
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